Should be an output created by cluto2label.pl program showing the distribution of instances from each sense class in each of the clusters.

This distribution should be shown in a cluster by sense matrix where the rows represent the clusters and the columns represent the senses. Cell entry at CS[i][j] shows the number of instances belonging to cluster Ci that have the true true sense tag Sj.

Output will display a confusion table whose rows represent the discovered clusters and columns represent the actual sense classes such that cell value at (i,j) indicates the number of instances belonging to cluster Ci that have true sense id Sk where Sk is the column label on the top of the jth column. Columns are reordered such that the sense representing the rth column most accurately represents the rth cluster Cr and diagonal value at (r,r) shows the number of instances in the rth cluster that belong to their correct sense class.

When #clusters > #senses, clusters that aren't assigned a sense tag will have star (*) on them. When #senses > #clusters, senses that aren't assigned to any cluster will be hash (#) marked.

The sum of the diagonal entries shows the total number of instances that are correctly discriminated(#hits). From this number, report computes precision and recall where

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